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Bayesian functional regression as an alternative statistical analysis of high‑throughput phenotyping data of modern agriculture

Montesinos-López, A.; Montesinos-Lopez, O.A.; De los Campos, G.; Crossa, J.; Burgueño, J.; Luna-Vazquez, F.J. (BioMed Central, 2018)

Bayesian regularized quantile regression: a robust alternative for genome-based prediction of skewed data

Perez-Rodriguez, P.; Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Crossa, J. (Elsevier, 2020)

Partially linear censored regression models using heavy-tailed distributions: A Bayesian approach

Castro, Luis M.; Lachos, Victor H.; Ferreira, Guillermo P.; Arellano Valle, Reinaldo B. (ELSEVIER SCIENCE BV, 2014)

Linear regression models where the response variable is censored are often considered in statistical analysis. A parametric relationship between the response variable and covariates and normality of random errors are ...

A Bayesian approach to hybrid splines non-parametric regression

Dias, R; Gamerman, D (Taylor & Francis LtdAbingdonInglaterra, 2002)

Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper‑spectral image data

Montesinos-López, A.; Montesinos-Lopez, O.A.; Cuevas, J.; Mata-López, W.A.; Burgueño, J.; Mondal, S.; Huerta-Espino, J.; Singh, R. P.; Autrique, E.; Gonzalez-Perez, L.; Crossa, J. (BioMed Central, 2018)

Correction to: bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture

Montesinos-López, A.; Montesinos-Lopez, O.A.; De los Campos, G.; Crossa, J.; Burgueño, J.; Luna-Vazquez, F.J. (BioMed Central, 2018)

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Bayesian functional regression as an alternative statistical analysis of high‑throughput phenotyping data of modern agriculture

Bayesian regularized quantile regression: a robust alternative for genome-based prediction of skewed data

Partially linear censored regression models using heavy-tailed distributions: A Bayesian approach

A Bayesian approach to hybrid splines non-parametric regression

Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper‑spectral image data

Correction to: bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture

Partially linear censored regression models using heavy-tailed distributions: A Bayesian approach

DPpackage: Bayesian Semi- and Nonparametric Modeling in R

The Dependent Dirichlet Process and Related Models

Bayesian Analysis Of Censored Linear Regression Models With Scale Mixtures Of Skew-normal Distributions

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Bayesian functional regression as an alternative statistical analysis of high‑throughput phenotyping data of modern agriculture

Bayesian regularized quantile regression: a robust alternative for genome-based prediction of skewed data

Partially linear censored regression models using heavy-tailed distributions: A Bayesian approach

A Bayesian approach to hybrid splines non-parametric regression

Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper‑spectral image data

Correction to: bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture

Partially linear censored regression models using heavy-tailed distributions: A Bayesian approach

DPpackage: Bayesian Semi- and Nonparametric Modeling in R

The Dependent Dirichlet Process and Related Models

Bayesian Analysis Of Censored Linear Regression Models With Scale Mixtures Of Skew-normal Distributions